{"title":"一个分析人工智能阴暗面的二维研究框架","authors":"Lifan Zeng, Junjie Wu","doi":"10.1109/ICCEA53728.2021.00064","DOIUrl":null,"url":null,"abstract":"Gradual adoption of Artificial intelligence (AI) and its potential impact have received considerable attention in the business and societal landscape. Grounded on extensive literature review, this paper proposes a two-dimensional framework to address the dark side of emergent AI technology applications. This work not only enhance our understanding of the technological rhetoric-reality gap between high expectations and potential negative issues of AI but also highlight the areas that future research might focus on.","PeriodicalId":325790,"journal":{"name":"2021 International Conference on Computer Engineering and Application (ICCEA)","volume":"149 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A wo-dimensional research framework for analysing dark side of AI\",\"authors\":\"Lifan Zeng, Junjie Wu\",\"doi\":\"10.1109/ICCEA53728.2021.00064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gradual adoption of Artificial intelligence (AI) and its potential impact have received considerable attention in the business and societal landscape. Grounded on extensive literature review, this paper proposes a two-dimensional framework to address the dark side of emergent AI technology applications. This work not only enhance our understanding of the technological rhetoric-reality gap between high expectations and potential negative issues of AI but also highlight the areas that future research might focus on.\",\"PeriodicalId\":325790,\"journal\":{\"name\":\"2021 International Conference on Computer Engineering and Application (ICCEA)\",\"volume\":\"149 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computer Engineering and Application (ICCEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEA53728.2021.00064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Engineering and Application (ICCEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEA53728.2021.00064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A wo-dimensional research framework for analysing dark side of AI
Gradual adoption of Artificial intelligence (AI) and its potential impact have received considerable attention in the business and societal landscape. Grounded on extensive literature review, this paper proposes a two-dimensional framework to address the dark side of emergent AI technology applications. This work not only enhance our understanding of the technological rhetoric-reality gap between high expectations and potential negative issues of AI but also highlight the areas that future research might focus on.